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Sessions Were Renumbered as of May 19.

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CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: missing data returned 17 record(s)
Monday, 08/01/2016
Effects of Missing Data on Student Growth Estimates
Katherine Wright, Loyola University Chicago; John Gatta, Northwestern University, ECRA Group; Therese D. Pigott, Loyola University Chicago


Sparse Regression for Block Missing Data Without Imputation
Yufeng Liu, The University of North Carolina at Chapel Hill
8:35 AM

Missing Data in the Context of Student Growth Models
Katherine Wright, Loyola University Chicago; John Gatta, Northwestern University, ECRA Group; Therese D. Pigott, Loyola University Chicago
10:50 AM

The Treatment of Missing Data in a Large Cardiovascular Clinical Outcomes Study
Roderick Joseph Little, University of Michigan
11:25 AM

Tuesday, 08/02/2016
Implication of Missing Data in the Study of Association Between Immigrant Status and MRSA/MSSA Recurrence
Paola Martins, UFF; Nancy Piper Jenks, Clinical Directors Network; Caroline Jiang, Rockefeller University; Brianna D'Orazio, Clinical Directors Network; Jonathan N. Tobin, Clinical Directors Network; Joel Correa da Rosa, Rockefeller University


Multiple Imputation for Meta-Analysis: A Comparison of Existing Methods
Deborah Kunkel, The Ohio State University; Eloise Kaizar, The Ohio State University


Multiple Imputation for Meta-Analysis: A Comparison of Existing Methods
Deborah Kunkel, The Ohio State University; Eloise Kaizar, The Ohio State University
8:35 AM

Novel Missing Data Imputation Methods
Peter Mesenbrink, Novartis Pharma
11:15 AM

A Prediction Approach to Missing Data from the Exponential Family
Valbona Bejleri, USDA/NASS; Darcy Miller, USDA/NASS; Kay Turner, USDA/NASS
2:35 PM

Wednesday, 08/03/2016
Missing Data and Complex Sample Surveys: The Impact of Listwise Deletion vs. Multiple Imputation on Point and Interval Estimates When Data Are MCAR and MAR
DeAnn Trevathan, University of South Florida; Anh Kellermann, University of South Florida; Jeffrey Kromrey, University of South Florida


Missing Data and Prediction Models
Sarah Fletcher, Vanderbilt University School of Medicine; Jeffrey David Blume, Vanderbilt University School of Medicine
12:05 PM

Missing Data Imputation in Phase III Study with Time-to-Event Outcome
Gang Jia, Merck; Paul DeLucca, Merck; Steven Bird, Merck; Bruce Binkowitz, Merck; Weichung J. Shih, Rutgers University
2:05 PM

Design of Primary and Sensitivity Analyses for Handling Nonfuture Dependence Missing Data in Clinical Trials with an Emphasis on the Type I Error Rate Using Pattern Mixture Model
Lixian Peng, Celgene; Weichung J. Shih, Rutgers University
2:35 PM

Handling Missing Data in Multiple-Attack Migraine Studies
Kaifeng Lu, Allergan
2:50 PM

Missing Data Approaches in Categorical Latent Growth and Multilevel Proportional Odds Models
Karen Traxler, University of Northern Colorado; Niloofar Ramezani, University of Northern Colorado
3:20 PM

Thursday, 08/04/2016
Fixed Choice Design and Augmented Fixed Choice Design for Missing Data in Social Networks
Miles Ott, Augsburg College; Joseph Hogan, Brown University; Nancy Barnett, Brown University; Krista Gile, University of Massachusetts - Amherst; Matthew Harrison, Brown University
11:05 AM

On Analysis of Longitudinal Clinical Trials with Missing Data Using Reference-Based Imputation
Lei Pang, Merck; Guanghan Liu, Merck Research Laboratories
11:50 AM

 
 
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